Introduction of a Bayesian network builder algorithm personalized infectious disease risk prediction

Retno Aulia Vinarti, Lucy Hederman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

We introduce an algorithm for auto-generating a Bayesian Network (BN) structure from a knowledge-base represented as an ontology with rules. The ontology and rules represent the assumptions of infectious disease risk in the epidemiology domain. The resulting BN will be the computational model for an infectious disease risk prediction service. The BN structure consists of one child node, to represent the chosen infectious disease, with multiple parent nodes to represent the contexts which affect infection risk. Thus, this BN generation algorithm is constrained to a relatively simple structure. The algorithm generates a BN using the API of BN modeler software, Netica-J. We evaluate two aspects of the generated BN: the network structure and the conditional probability tables (CPTs). The validation result shows that the algorithm generates an isomorphic BN compared with the ontology and the CPTs are populated with consistent ratios from epidemiological rules. Furthermore, the generated BN has resulted in a personalized infectious disease risk prediction based on the personal attributes and their environments.

Original languageEnglish
Title of host publicationHEALTHINF 2018 - 11th International Conference on Health Informatics, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
EditorsReyer Zwiggelaar, Hugo Gamboa, Ana Fred, Sergi Bermudez i Badia
PublisherSciTePress
Pages115-126
Number of pages12
ISBN (Electronic)9789897582813
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event11th International Conference on Health Informatics, HEALTHINF 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Funchal, Madeira, Portugal
Duration: 19 Jan 201821 Jan 2018

Publication series

NameHEALTHINF 2018 - 11th International Conference on Health Informatics, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Volume5

Conference

Conference11th International Conference on Health Informatics, HEALTHINF 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Country/TerritoryPortugal
CityFunchal, Madeira
Period19/01/1821/01/18

Keywords

  • Bayesian Network
  • Infectious Disease Risk
  • Knowledge-Base
  • Ontology
  • Risk Prediction

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